Agentic Systems Engineering
Production-grade AI agents that plan, act, and leave an audit trail — governed by humans for federal mission use.
The mission context.
Federal agencies need AI that does more than answer questions. They need agents that take governed action on mission data. TechSur builds multi-agent systems that plan, execute, and log every action for audit against federal guardrails. We move AI from pilot to production by solving the hard problems: orchestration, observability, hallucination control, and ATO alignment.
We were building governed automation before "agentic AI" became the label — through workflow automation, RPA, ML-assisted anomaly detection, operational dashboards, configurable validation, and human-in-the-loop decision support. Agentic systems are the next evolution of that discipline.
Engineering pillars.
The core disciplines we apply to every engagement.
Multi-Agent Orchestration
We deploy specialized agent networks where a 'planner' agent delegates to 'retrieval' and 'execution' agents, ensuring complex workflows are broken down into verifiable steps rather than monolithic model calls.
Tool Use & API Integration
Agents are connected securely to existing federal systems of record via tightly scoped APIs, allowing them to read dockets, update case statuses, or draft evaluation packages directly.
Audit & Explainability
Every reasoning step, tool invocation, and source citation is logged with immutable audit trails. Human-in-the-loop review checkpoints ensure consequential decisions are validated before action. When an agent flags a document for review or summarizes a case, it provides an evaluator-readable trace with full provenance.
Responsible AI Governance
We apply risk-based use-case intake, model and prompt evaluation, data provenance tracking, and operational monitoring to ensure AI systems remain aligned with agency mission, privacy requirements, and civil liberties safeguards throughout their lifecycle.
Bring us the mission blocker.
Leave with a 90-day path.
Capability briefings are working sessions, not pitches. Tell us where you're stuck; we'll show you the lane, the accelerators, and the proof.